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Job Description Job Description Indotronix is seeking a Senior Cloud Security Specialist - AWS in Washington, DC, for our direct client Job Title: Senior Cloud Security Specialist - AWS Location: Washington, DC Duration: Long-term Project Description: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the client This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. Requirements: The candidate shall possess the knowledge and skills set forth in the Technical Services Client, Section 3.5.4.2 for labor category Senior Cloud Security Specialist. The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years of hands-on AWS security experience •AWS Certified Security - Specialty (strongly preferred) •AWS Certified Solutions Architect - Professional or Associate •Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. •Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST •Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. •Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in •open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access •Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, •zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: •Conduct regular security reviews of cloud infrastructure deployed by engineering teams •Evaluate infrastructure-as-code against security standards •Review and validate compliance with security policies and best practices •Assess adherence to AWS Well-Architected Framework security pillar •Identify and document security misconfigurations and non-compliant controls •Develop and maintain security posture dashboards •Create or update security configuration guides and playbooks •Offer technical consultation to engineering teams on secure implementation •Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. •Develop and update AWS security configuration standards •Conduct security training sessions for engineering teams •Present findings and recommendations in team meetings •Identify opportunities to automate security assessments •Recommend security tooling improvements Personnel Qualifications: •Bachelor's degree in information security, Computer Science, Management of Information Systems, or related field required •Minimum of 6 years' experience in cybersecurity, including cloud security, compliance, and risk management with a background in system and network security engineering. •Minimum of 6 years' experience on any Cloud Platform (AWS, Azure, Google, others). •At least one of the following certifications preferred: CompTIA Security+, Certificate of Cloud Security Knowledge (CCSK), Professional Cloud Architect, Professional Cloud Security Engineer, Certified Cloud Security Professional (CCSP) etc. Indotronix Commitment: A Safe and Inclusive Workplace" - Promoting a Culture of Inclusion, Respect, Equality, and Diversity: Ensuring Safety and Non-Discrimination. We actively strive to attract, retain, and empower a diverse range of talented individuals, recognizing that diverse perspectives and experiences enhance our collective performance. Breaking Barriers: Your Potential Knows No Limits. Embrace Your Potential, Apply Today!" Indotronix Commitment to Pay Equity - At Indotronix, we are committed to Equal Employment Opportunity (EEO) and ensure pay equity across all job roles. We proudly champion equal pay for equal work, guaranteeing fair compensation for all employees based on their skills, experience, and contributions. Celebrating & Honouring Veteran Contributions: Approximately 13% of our workforce are veterans (nearly twice the national average). This achievement underscores our deep commitment in fostering Opportunities for success to Civilian Careers Recognition - Indotronix has been recognized as one of the largest staffing companies in 2023 by Staffing Industry Analysts - a testament to our continued growth, commitment to excellence, and the trust our clients and candidates place in us. Compliance Indotronix upholds good corporate citizenship by complying with all applicable laws, including taxation, equal employment opportunity, statutory benefits, and data reporting. In 2023, we hired over 1,200 U.S.-based employees as consultants, contributing to workforce expansion and client service excellence.

Job Description Job Description Job Overview: Pay Range:$81.04hr - $86.04hr Requirement/Must Have: 3+ years of experience in cloud architecture and security. Strong understanding of cloud security architecture, identity and access management (IAM), and networking. Responsibilities: Design and architect scalable, highly available, resilient, and secure cloud solutions leveraging IaaS and PaaS services across AWS, Azure, and Google Cloud Platform (GCP). Lead cloud migration initiatives, including re hosting, re platforming, refactoring, and re architecting legacy and on premises workloads with a strong emphasis on security posture improvement and risk reduction. Drive application and infrastructure modernization programs to improve scalability, performance, security, and operational efficiency. Partner with engineering, platform, and security teams to define cloud native reference architectures, security guardrails, and modernization roadmaps. Optimize cloud infrastructure for performance, availability, reliability, security hardening, and cost efficiency. Establish and manage cloud security architectures and governance frameworks, aligned with industry standards and internal security policies. Design and enforce identity first security, including IAM strategies, least privilege access controls, role based access, identity federation, and secrets management. Design and implement secure cloud networking architectures, including VPN, Direct Connect, ExpressRoute, and Cloud Interconnect. Configure and enforce network segmentation, micro segmentation, zero trust architectures, and advanced network security controls. Secure containers, Kubernetes, serverless, and microservices environments, including image scanning, runtime protection, and policy enforcement. Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Azure Client/Bicep templates with built in security, policy, and compliance controls. Design and evolve DevSecOps CI/CD pipelines, integrating security scanning, policy enforcement, and automated compliance validation. Define and implement cloud security observability, including logging, monitoring, alerting, and incident response integration. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer : Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Senior-level Data Architect/SME supporting a customer mission focused on data acquisition, exploitation, engineering, and management. The role works across data engineering, software engineering, security, DevOps, application development, data science, and program management teams. Key Responsibilities Design and support cloud-based data infrastructure and data management solutions. Build and execute ETL/data processing pipelines. Work across AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL environments. Integrate data flows with industry-standard systems, including Niagara Falls. Collaborate across contractor teams, customer personnel, and external stakeholders. Communicate technical concepts clearly to both technical and non-technical audiences. Work independently and proactively solve problems in a fast-paced environment. Required Qualifications Cloud infrastructure and data management, particularly AWS. TS/SCI with polygraph Multiple operating systems: Windows, Linux, and macOS. Data engineering and processing. Python. Building and executing ETL pipelines. Big-data technologies such as HDFS, Cloudera, Spark, and Presto. SQL and NoSQL databases. Data-flow integration and mission-oriented data systems. Strong communication and collaboration skills. Desired Qualifications Knowledge of targeting workflows and mission environments. Large Language Models (LLMs) and agentic workflows. Neo4j/graph databases. Experience in a hard-target mission area. RCT Systems offers: Competitive benefits package (medical, dental, vision, life insurance) Immediate 401k vesting Generous PTO and flexible schedules $500.00 annual technology allowance RCT Systems is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex (to include pregnancy and related conditions, sexual orientation, and gender identity), national origin, disability, veteran status, or any other federally protected class.

Job Description About Xebia Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centers across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific. With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters - teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Low Code, and Microsoft. We help the world's top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. For more details please visit Title: -Senior Data & Analytics (Snowflake & AWS) Consultant Location: -Washington, DC (Hybrid) Job Description: - Role Overview We are seeking a Senior Data & Analytics Consultant with strong hands-on technology expertise and proven consulting experience. The candidate will lead Data & AI strategy initiatives leveraging AWS and Snowflake while guiding the client through modern data architecture patterns including Lakehouse, Fivetran, dbt, Sigma reporting, Open table formats (Delta Lake / Apache Iceberg), and AI-enabled use cases. This is a client-facing role requiring strong stakeholder management, requirements gathering, and the ability to independently drive a consulting engagement end-to-end. Key Responsibilities 1. Consulting & Engagement Leadership • Lead discovery workshops and requirements gathering sessions with business and technology stakeholders. • Translate business objectives into scalable data architecture and implementation roadmaps. • Drive engagement governance, solution articulation, and executive-level communication. • Partner with Product Owners, Business, and IT stakeholders to drive the use case and executive roadmap. • Provide thought leadership on modern data platform architecture and AI enablement. 2. Architecture & Design • Design and implement modern data warehouse and Lakehouse architectures. • Define data models (dimensional, normalized, Data Vault where appropriate). • Architect solutions using the following (good to have, as Solution Architects will provide support): o AWS ecosystem (S3, Glue, Lambda, IAM, etc.) o Snowflake (data warehouse, Snowpark, Streams/Tasks, Data Sharing) o Fivetran, dbt, Sigma reporting o Data governance solutions - data catalog, end-2-end data lineage, traceability, and audit-ability. o AI-accelerated migration or AI-assisted development experience • Recommend best practices for scalability, security, governance, and cost optimization. 3. Engineering Oversight • Guide ingestion, transformation, and orchestration strategies. • Ensure implementation aligns with data governance and compliance standards. 4. AI & Emerging Technologies • Identify and design AI/ML enablement patterns (data readiness for ML, feature engineering pipelines). • Advise on modern data stack evolution including: o Lakehouse patterns o Open table formats (Delta Lake / Apache Iceberg) o Data mesh principles (if applicable) • Evaluate new technologies and recommend adoption roadmap. Required Skills & Experience Experience • 20+ years of total experience in Data Engineering / Data Architecture / Analytics Consulting. • Proven experience working in consulting engagements (client-facing). • Experience working with US-based clients is strongly preferred. Technical Expertise • Strong hands-on experience with AWS data services. • Strong experience with Snowflake architecture and optimization. • Deep understanding of: o Data warehousing concepts (dimensional modeling, performance tuning) o Lakehouse architecture patterns o Open table formats: Delta Lake and Apache Iceberg • Experience with cloud-native data pipelines and modern ELT frameworks. • Understanding of data governance, security, and compliance in cloud environments. • Exposure to AI/ML data pipelines and AI-driven analytics use cases. Consulting & Soft Skills • Strong requirements gathering and stakeholder management skills. • Ability to articulate technical solutions to business leadership. • Experience driving projects independently. • Strong written and verbal communication skills. • Ability to operate in ambiguous environments typical of PE-backed portfolio transformations. Preferred Qualifications • Experience working with Private Equity firms or portfolio companies. Why Join Xebia? • Join a globally recognized AI-First Digital Transformation Leader helping enterprises shape tomorrow with AI today. , • Be part of Xebia's 25-Year Legacy of Innovation and Impact. , • Access world-class expertise across AI, Data, Cloud, Software Engineering, and Digital Transformation. , • Work alongside high-caliber consultants and global technology partners. • Uncapped opportunity to influence growth within one of the industry's fastest-growing consulting organizations. Xebia - Shaping Tomorrow with AI Today. Benefits We Are Proud to Provide! • Medical, Dental and Vision Insurance (Subsidized) • Health Savings Account • Flexible Spending Accounts (Healthcare and Dependent Care) • Short-Term and Long-Term Disability • Life and AD&D Insurance • Employee Assistance Program • Matched 401(k) Retirement Savings Plan • Paid Time Off While the talent scarcity within IT is at an all-time high and still growing, Xebia sticks to the mission of "aiming for thought leadership", thus working with the best professionals in the market. At Xebia, you will get the chance to work with passionate professionals within their field of expertise. We offer more than just a job, we offer a career. We are looking forward to working with you! Xebia is committed to creating an inclusive and diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Xebia is committed to providing equal opportunity and reasonable accommodations to employees with disabilities. Xebia complies with the Americans with Disabilities Act and all other applicable federal, state, and local laws regarding disability discrimination and accommodation. Interested Candidates may reach out to for any assistance needed. Please feel free to share your preferred pronouns with us during the application process. All people hired will be required to verify identity and eligibility to work in North America, and to complete any required employment eligibility forms.

Job Description About Cloudelligent Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. Job Objective As a Sr. DevOps Engineer, you are a hands-on technical leader and the delivery owner for two managed services pods and the customers they support. You lead a distributed team of cloud engineers across US and offshore locations, run the day-to-day operation of our customers' AWS environments, lead FinOps reviews, and own the customer relationship from onboarding through renewal. Your job is not only to keep environments running but to deliver continuous, measurable value: lower cost, better reliability and security, and a clear roadmap for what comes next. Your success is measured by reliable operations, customers who stay and grow with us, and a team that runs without escalation to senior leadership. This is a hands-on-keyboard role: you will spend a significant part of your week doing the engineering work yourself, not only directing it. Responsibilities Work hands-on in customer AWS environments every week: troubleshoot and resolve incidents, implement changes, write infrastructure as code and automation, and carry out FinOps optimizations yourself. Own delivery for your pods' customers end to end: sprint planning, change and pull-request review, spot checks on engineering work, and delegation across the team. Run a consistent customer cadence, including weekly operational touchpoints and a monthly value review that shows what the customer received and what comes next. Drive continuous value for every customer: maintain a living roadmap per account, bring forward cost, reliability, security and modernization improvements each quarter, and show the measurable results. Act as the senior point of contact for customer escalations and executive conversations, without routing them to Cloudelligent leadership. Own operational health for your pods: on-call rotation, incident response and root-cause analysis, SLO and MTTR reporting per customer, patching and vulnerability-scan coverage. Drive adoption of our AI-enabled operations tooling and automation so the team spends less time on manual, repetitive work. Make sure findings from tooling and reviews become tracked, prioritized work items, and that backlog quality meets our standards. Lead FinOps reviews with customers: analyze spend and usage trends, identify savings (rightsizing, Savings Plans and Reserved Instances, storage and data-transfer optimization, waste cleanup), present recommendations to technical and financial stakeholders, and track realized savings. Establish cost governance with customers, including tagging and allocation standards, budgets, anomaly alerts and regular cost reporting. Identify expansion opportunities (new workloads, security assessments, modernization) and hand them to the account team. You are not carrying a sales quota. Lead and develop your team: coaching, performance feedback, certification planning, time approvals and capacity forecasting. Ensure security and compliance practices are implemented and maintained across customer environments. Improve our managed services runbooks, onboarding process and operating standards as the practice scales. What Success Looks Like in Your First 90 Days Every customer in your pods is on a consistent weekly and monthly cadence. The on-call process is running and demonstrated for your pods within 30 days. SLO and MTTR are reported for each of your customers within 45 days. Time is approved on schedule, and capacity is forecast every week. Each of your customers has completed a FinOps review and has a documented value roadmap for the next two quarters. No unplanned customer churn; expansion opportunities are logged and handed off. Requirements Based in the United States and authorized to work in the US. Bachelor's in computer science, engineering or a related field, or equivalent experience. 4+ years of hands-on experience in cloud operations, DevOps or SRE on AWS. 2+ years leading a managed services, MSP or cloud operations team, including responsibility for customer outcomes. Experience leading distributed or offshore engineering teams across time zones. Excellent written and verbal communication, with a track record of running customer meetings, executive reviews and difficult conversations. Hands-on experience leading FinOps or cloud cost-optimization engagements, including presenting findings and savings to customer stakeholders. Experience running incident management, on-call rotations and root-cause analysis in a production support environment. Comfortable working from metrics: SLOs, MTTR, backlog, utilization and customer health. Currently hands-on: you build, troubleshoot and automate in AWS yourself today, and want to keep doing so while leading a team. Self-driven, with sound judgment and the ability to operate without day-to-day direction. Technical Experience/Expertise Strong hands-on AWS operations experience across compute, networking, identity, storage and security services. Infrastructure as code (Terraform, CloudFormation or CDK) and CI/CD workflows. Observability and alerting tools such as CloudWatch, Honeycomb, Datadog, Grafana or OpenTelemetry, and paging tools such as PagerDuty. ITSM and work-tracking tools such as Jira and Jira Service Management. Strong AWS cost management: Cost Explorer, Cost and Usage Reports, Compute Optimizer, Trusted Advisor, Savings Plans and Reserved Instances, and third-party FinOps platforms. Experience securing cloud environments against cloud-native standards and supporting audits such as SOC 2. Familiarity with containers and orchestration (ECS, EKS or Kubernetes). Good to Have AWS Certified Solutions Architect - Professional, SysOps Administrator or DevOps Engineer - Professional. FinOps Certified Practitioner. ITIL 4 Foundation. Experience using AI or agentic tooling in cloud operations. Compensation Competitive base salary plus an annual performance bonus tied to customer retention, delivery outcomes, and customer value. This role does not carry a sales commission.

Job Description Role: Sr. Network Engineer Location: Highlands Ranch, Colorado , Role: Onsite, Full time ROLES AND RESPONSIBILITIES Experience of managing & responsible for Network Data and Security track and manage Incident, Change and Problem management Responsible and first level escalation point for Incident, change, and problems Knowledge on configuring and troubleshooting the Cisco Routing, Switching , Firewalls & Wireless Knowledge on Cisco ACI and implementation Knowledge to review network maintenance and device upgradesa including patches, hot fixes and security configurations. Experience in Wifi products such as cisco WLC and Access points. Review the performance and ensuring service availability and reliability Review system resource utilization, trending, and capacity planning. Provide Level-3 support and troubleshooting to resolve issues. Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure. Liaise with vendors and other IT personnel for problem resolution. Support in DR tests/failover from WAN perspective. Providing network engineering support and training to other team members. Ability to manage the devices through Cisco Prime Infrastructure & managing the DNS Records with third party Vendor Managing and reviewing the CMDB on Snow Extensive knowledge of LAN and WAN technologies Excellent Exposure to current Leaf>Spine>Leaf architectures, validated designs, and methodologies. Excellent knowledge of dynamic routing protocols Eigrp, OSPF, iBGP, eBGP. Excellent exposure to Nexus 2/3/5/7/9K platforms Excellent exposure to DNS, DHCP & IPAM. Strong Experience in managing Nexus/cisco switches with FEX, VPC, VXLAN, VDC's etc. Experience with Routers, switches, HSRP, VRRP & GLBP redundancy protocols, Firewalls Strong troubleshooting skills by providing support for any network & security related issues Experience in monitoring tools like Solar Winds, thousand eye Experience in Infoblox. Experience in Load balancers such F5(LTM, GTM) Responsible for ensuring the team to adhere to the SLAs and process Responsible Level 3 Troubleshoot and resolve Cisco ASA, Checkpoint Firewalls, McAfee Web gateway, Barracuda Email security, Thales Key management -related issues Responsible for performing Root Cause Analysis for major incidents Responsible for configuring changes on Cisco ASA, Checkpoint Firewalls, McAfee Web gateway, Barracuda Email security, Thales Key management to meet organizational security requirements Responsible for Integration of new Cisco ASA, Checkpoint Firewalls, McAfee Web gateway, Barracuda Email security, Thales Key management to AWS cloud environment. Responsible for creating and maintaining firewall rules, policies, and objects using centralized management tool (Checkpoint Mgmt. server) Responsible for providing technical guidance and support to other IT team members Responsible for making customer environment to stay up to date with the latest Palo Alto Networks technologies and best practices Certification: - CCNP- Routing and switching or equivalent certification Disclaimer HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Architecture & Platform Strategy Define and evolve the target-state architecture for the self-serve data, AI, and agentic AI platform, aligned to enterprise strategy, data mesh principles, and regulatory requirements Establish enterprise standards and reference architectures for data products, semantic layer services, AI/LLM gateways, agent orchestration, and API- and MCP-based data access Architect the platform layers that let AI systems and agents find, trust, ask, and act on enterprise data - including data product interfaces, semantic context services, and governed write/action patterns Define tiered certification and governance patterns that scale data product trust from registered assets to autonomous-grade, AI-ready products Establish foundational patterns for retrieval, context enrichment, grounding, and tool exposure (RAG, semantic layer, MCP tool surfaces) to support agentic and real-time decisioning use cases Engineering & Infrastructure Lead engineering of scalable, secure platform infrastructure on AWS (S3, Lake Formation, Glue, EKS, Bedrock, IAM, networking) and Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL, MLflow, Mosaic AI) Engineer the agentic AI platform stack: agent runtimes, orchestration, agent identity and access management, action/write contracts, evaluation harnesses, and observability Implement platform engineering best practices: infrastructure-as-code (Terraform), CI/CD, automated testing, environment promotion, and GxP/Part 11-compliant change management Drive operational excellence across reliability, cost management (FinOps for data and AI workloads), observability, and incident response, grounded in SRE and Well-Architected practices Ensure security, data protection, and access governance patterns (fine-grained entitlements, row/column-level controls, audit lineage) meet regulated-industry requirements Delivery Leadership & Product Management Contribute to the platform product roadmap: define outcomes, prioritize the backlog, and sequence capability delivery against enterprise AI adoption goals Lead delivery across a team of vendor partners, holding the team to clear standards for quality, velocity, and operability Drive build/buy/adopt decisions with rigor - vendor evaluation, kill criteria, and total-cost analysis - and integrate acquired capabilities into a coherent platform experience Define and track platform health and adoption metrics (DORA, reliability SLOs, self-serve adoption, time-to-data-product) and report progress to senior leadership Serve as a trusted advisor and technical leader: mentor engineers, run architecture reviews, and partner with business domains to identify and enable high-value data and AI use cases Communicate architecture and trade-offs crisply to audiences from engineers to Director/VP. stakeholders, simplifying complexity without losing rigor Basic Qualifications 10+ years in platform engineering, data engineering, or enterprise data/AI platform architecture, including 3+ years leading engineering teams or major platform programs Deep hands-on expertise with AWS data and AI services, including S3, Lake Formation, Glue, EKS, Bedrock, Kinesis/MSK, IAM, and Terraform-based infrastructure automation Strong production experience with Databricks: Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL, MLflow, and workspace/governance administration at enterprise scale Demonstrated experience designing or building agentic AI or LLM-powered systems: agent orchestration, RAG pipelines, LLM gateways, tool/function calling, MCP or comparable protocols, and AI evaluation/observability Proven ability to build resilient, scalable pipelines for high-volume batch and streaming data, with proficiency in SQL and Python (or Scala/Java) Strong understanding of distributed systems, event-driven architecture, workflow orchestration, and API-first integration patterns Experience designing secure, governed, production-grade cloud architectures, including fine-grained access control, lineage, and auditability Track record of delivery leadership: roadmap ownership, backlog management, cross-functional coordination, and shipping platform capabilities that achieve measured adoption Excellent communication skills with the ability to simplify complexity and influence senior decision-makers Preferred Qualifications Experience in biopharma, life sciences, or other heavily regulated domains, with working knowledge of GxP, 21 CFR Part 11, and computer system validation Background in data mesh or federated data architectures, data product operating models, and domain enablement at enterprise scale Experience with semantic layer technologies, knowledge graphs, metadata/catalog platforms, and data contract frameworks Familiarity with FinOps for data and AI workloads, including cost attribution, chargeback/showback, and LLM token economics Experience managing large vendor/partner ecosystems and running structured vendor evaluations with defined success and kill criteria Product management experience or certification; familiarity with DORA metrics, SPACE framework, and platform-as-a-product operating models AWS Professional (Solutions Architect or Data Analytics) and/or Databricks certifications The salary range for this position is: $168,980.00 - $218,680.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. . click apply for full job details

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Job Description Job Description C5MI is not your typical consulting firm. We are a high-performance team of SAP and supply chain experts who solve complex, mission critical challenges for organizations that cannot afford failure. We hire consultants who thrive in complexity, move fast, take ownership, and deliver under pressure. At C5MI, you will not be siloed or stuck in theory. You will be hands on, client facing, and directly influencing outcomes that matter. Our culture rewards initiative, accountability, and continuous growth. This is a place where your expertise is valued, your work is meaningful, and your performance truly matters. If you're energized by learning through real-world challenges, collaborating with top-tier talent, and expanding your capabilities every day, C5MI is where strong consultants level up. Position Summary: The Senior SAP Functional Consultant (Hire to Retire) leads the analysis, design, and implementation of SAP S/4HANA Hire to Retire (H2R) business processes for federal clients. This role serves as the functional expert for the end-to-end employee lifecycle, from recruitment and onboarding through payroll, benefits, and final separation. The consultant owns system analysis, end-to-end configuration, and cross-functional integration for the H2R workstream, ensuring that workforce data flows seamlessly between SAP SuccessFactors and S/4HANA Finance while maintaining strict compliance with federal personnel regulations and labor distribution requirements. Essential Functions & Responsibilities: Leads the analysis, design, and implementation of SAP S/4HANA Hire to Retire (H2R) business processes and serves as the functional expert for the end-to-end employee lifecycle, from recruitment and onboarding through payroll, benefits, and separation. Facilitates requirements gathering and design workshops to define requirements for Core HR (Employee Central), Payroll, Time Tracking, and Talent Management within a federal context. Leads Fit-to-Standard sessions that leverage SAP SuccessFactors best practices while meeting federal requirements. Performs hands-on configuration of SAP SuccessFactors Employee Central, including complex business rules, and coordinates integration with S/4HANA Employee Lifecycle processes. Ensures payroll and time entries interface correctly with Funds Management (FM) and Cost Center Accounting (CO) to automate labor distribution across the federal three-dimensional budget structure. Integrates H2R processes with Budget to Report (B2R) processes to support labor budgeting and financial reporting. Designs solutions that support federal personnel mandates, including Personnel Action (PAR) processing, General Schedule (GS) and Senior Executive Service (SES) pay grade structures, and complex benefit calculations, in alignment with Office of Personnel Management (OPM) standards. Partners with developers and integration architects to design SAP Cloud Platform Integration (CPI) flows that securely transfer data between SuccessFactors and the S/4HANA Universal Journal. Troubleshoots CPI integration errors and SuccessFactors data model (OData API) issues in collaboration with technical teams. Leads the migration of sensitive personnel data, including employee history, tax records, and benefit elections, while protecting personally identifiable information (PII) and preserving audit integrity. Writes and executes comprehensive test plans for payroll parallel runs, Time Management calculations, and SuccessFactors to S/4HANA synchronization. Deploys SAP Fiori and SuccessFactors Mobile apps that give employees self-service access to leave requests, paystubs, and performance management. Serves as the bridge among Human Resources, Finance, and IT stakeholders, translating business needs into functional specifications and solution designs. Provides functional guidance and informal mentoring to consultants and team members supporting the H2R workstream. Adheres to all certified processes as part of our commitment to maintaining the highest standards of quality and information security, which includes actively participating in quality assurance activities and ensuring the protection of sensitive information in accordance with our security policies. Performs other related tasks as assigned by direct supervisor. Minimum Requirements: Bachelor's degree in Information Systems, Human Resources, Business Administration, or a related field, or equivalent experience. Minimum of 5 years of relevant experience with a Bachelor's degree, or 7 years without a Bachelor's degree, including extensive functional experience in SAP SuccessFactors or SAP HCM. Deep understanding of the integration points between cloud HR solutions and SAP S/4HANA Finance. Proven experience with Payroll and Time Management in complex, highly regulated environments. Strong integration knowledge between H2R and Budget to Report (B2R) processes for labor budgeting and financial reporting. Proficiency in business process analysis, including the ability to lead Fit-to-Standard sessions. Technical literacy, including the ability to troubleshoot CPI integration errors, understand SuccessFactors data models (OData API), and configure complex business rules. Familiarity with Office of Personnel Management (OPM) standards and federal labor laws. Excellent communication skills, with the ability to work effectively across Human Resources, Finance, and IT teams. SAP certification in SuccessFactors Employee Central, Employee Central Payroll, or SAP HCM. U.S. citizenship required. Must be able to obtain and maintain an active government clearance (requires U.S. citizenship). Nice to Have: Additional SAP SuccessFactors certifications (e.g., Time Tracking, Employee Central Payroll, Onboarding). Experience implementing SAP SuccessFactors or SAP HCM for a federal agency or public sector organization. Working knowledge of SAP Public Sector Management, including Funds Management configuration. Experience with the SAP Activate implementation methodology. Master's degree in a related field. Compensation: In accordance with pay transparency law, the expected salary range for this position is $130,000 - $160,000 annually. The actual compensation offered will be determined based on factors such as the candidate's experience, qualifications, skills, and location. We are committed to fair and equitable compensation practices. This posted range reflects our good faith estimate of the compensation we reasonably expect to offer for this role at the time of posting. Application Deadline: We anticipate this job posting will be posted until 12/1/2026. Benefits: C5MI offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: C5MI Benefits Our employees are key to our success, so we strive to be more than just a team; we're a community built upon a set of Core Values that guide our every action: Challenge - We believe in challenging the present - it's the only way to shape the future. We must be exceptional communicators and collaborators while always learning. We also understand that speaking your mind requires equal parts brain (what to say), thoughtfulness (when to say it), and caring (how it's said). Incremental won't win. Have Fun - We are on a journey, together. Take care of your family, take care of yourself, and take care of each other. Live your happiness. Stay human, take care of each other and invest in your community. Life isn't all about work. Live your happiness. Be healthy. All In - You can't fake passion - show your energy. Own it - take charge and lead. Our team is made up of top quartile talent and we never accept second best. Accountability, trust, and integrity create an environment to realize the team's true potential. Never Forget the Customer - We have walked a mile in your shoes. Experience matters. We drive innovation to generate business value. Be true - no BS. GSD (Get Stuff Done) - We take initiative and never make excuses. We act with urgency, and we delivery high quality outcomes with extreme velocity. We embrace process discipline, drive continuous improvement, and stay audit ready. We relentlessly execute and plan for tomorrow by creating sustainable outcomes. That is how we win! Empower - Our people are the foundation for our success. We recognize their value, and support them by fostering a culture of collaboration and innovation. We recognize individual strengths, build confidence through action, and invest in personal development. How to Apply: To apply for this position, use the application link provided in this job posting and complete the application and submit a resume. If the position requires a specific certification, please be sure to upload a copy of your certification when you apply. If you would like to be considered for employment opportunities with C5MI and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 or send us an email here or speak with your recruiter. C5MI is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry . click apply for full job details

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver on a scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Position Summary Credence has an immediate need for a Cybersecurity Subject Matter Specialist (SMS) (Tech Lead) to support Air Combat Command (HQ ACC) Directorate of Cyberspace Operations and Warfighting Communications (A6) Zero Trust (ZT) Functional Management Office (FMO) at Scott AFB, IL and other locations throughout the country. The Subject Matter Specialist will provide expert-level guidance and support for the Department of Defense (DoD) and Air Force cybersecurity initiatives. The ideal candidate will bring deep technical knowledge, strategic insight, and hands-on experience in securing enterprise-level IT infrastructures in compliance with DoD standards and frameworks. Serve as a cybersecurity expert supporting DoD and Air Force enterprise infrastructure and security initiatives. Provide strategic and technical guidance on cybersecurity architecture, risk management, and compliance. Interpret and apply DoD cybersecurity governance, policies, and procedures. Lead and support the implementation of cybersecurity controls in accordance with NIST, RMF, and DoD frameworks. Collaborate with cross-functional teams to assess, design, and implement secure IT solutions. Conduct security assessments, vulnerability analysis, and incident response planning. Mentor junior cybersecurity staff and contribute to knowledge-sharing initiatives. Assist in the development of policy, directives, memorandums, Concept of Operations (CONOPS), Concepts of Employment (CONEMP), Implementation Plans (I-Plans) and other documentation to support cyber security, cyber operations capability employment, governance, oversight, risk management, strategy, command and control, failover and support to sections of the NIST Cybersecurity Framework, NIST ZT guidance, DoD ZT Architecture, and other Federal Government documents and regulations. Assist with the development and implementation of Information Protection processes, procedures, and technology requirements, to include creating and managing a baseline configuration of technology (e.g. Enterprise IT, Weapons Systems, Industrial Control Systems), System Development Life Cycle (SDLC), configuration change control processes, and policy and regulations regarding the physical operating environment for organizational assets to achieve resilience requirements in normal and adverse situations with a focus on ZT principals and intent. Maintain knowledge of current guidance, policies, laws, and regulations; communicate updates and incorporate them into existing enterprise strategies affected by ZT. Collaborate with stakeholders to develop and deliver Zero Trust focused cybersecurity awareness, role-based, and operational training and education, including realistic cyber training and exercise scenarios and objectives. Coordinate and collaborate with various portfolio managers and program offices for all systems maintained and/or used by the DAF. For new systems, advise and assist Government leads with researching and documenting ZT requirements, and validating/using data, reports, and other outputs from existing systems to define and document system ZT architecture deficiencies. Support the development of executive level briefings and metrics for monitoring and oversight for ZT, including reporting to Congress, Office of the Secretary of Defense, DoD, and DAF senior leaders. Design/develop and provide broad-based communications and change management support for program management, financial management, business process improvement, and process standardization. Establish and operate capabilities within ZT FMO to coordinate, track, and drive activities in support of the ZT Roadmaps and other guidance in conjunction with the Secretary of the Air Force (SAF) Office of the Chief Information Officer (SAF/CN). Establish capabilities to ingest strategic roadmaps, generate capability-specific Implementation Plans (I-Plans), and track milestones and deliverables in accordance with the Iplans. Conduct assessments of existing ZT activities and systems and provide recommendations to align to the DAF ZT Roadmap. Provide advice and recommendations regarding implementation/execution options and opportunities for program and capability convergence. Establish capability to support ZT transition activities and to integrate ZT activities into Capability Planning Guidance (CPG) implementation oversight and reporting. Requirements Active Secret Security clearance Education: Bachelor's degree in Information Technology, Cybersecurity, Computer Science, or a related field. Certifications: CISSP (Certified Information System Security Professional) or equivalent IAT/IAM Level III certification. Experience: Minimum of 15 years of IT experience, including: Providing technical expertise to the DoD, other federal agencies, or Fortune 400 organizations. Hands-on experience with Air Force or DoD enterprise infrastructure, governance, policies, and procedures. Strong understanding of cybersecurity frameworks such as NIST SP 800-53, RMF, and DoD 8500 series. Proven ability to lead enterprise cybersecurity projects and initiatives in complex environments. Preferred Qualifications: Deep understanding of Zero Trust technologies, implementation, and integration into enterprise security architecture Certified Zero Trust Strategist (ZTS) - Cloud Security Alliance (CSA) and/or NIST Zero Trust Architecture Training and/or Microsoft Certified: Cybersecurity Architect Expert and/or MIT xPro - Zero Trust Strategy certifications preferred Cloud Service Provider Security certifications preferred DevSecOps certification preferred Artificial Intelligence training or certification preferred Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Please join us, as together we build a better world one mission at a time powered by Technology and its People! Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior Application Programmer to support enterprise system modernization and API integration initiatives. This role serves as a technical lead responsible for designing, developing, implementing, and sustaining secure, scalable APIs and integration solutions using MuleSoft, SAP integration technologies, and modern DevSecOps practices. The ideal candidate has extensive experience developing enterprise-grade APIs, integrating complex business systems, modernizing legacy interfaces, and supporting mission-critical applications in large-scale enterprise or government environments. Responsibilities include, but are not limited to the duties listed below: Design, develop, test, deploy, and maintain enterprise APIs and integration solutions. Modernize legacy interfaces and data exchanges by implementing secure, reusable, and real-time API services. Develop API solutions using MuleSoft Anypoint Platform, Anypoint Studio, API Manager, and Runtime Manager. Create and maintain API specifications using REST, SOAP, RAML, OpenAPI, JSON, XML, and related technologies. Develop data transformations, mappings, validation rules, and reusable integration components using DataWeave. Integrate enterprise applications with SAP, databases, cloud services, SaaS platforms, and other internal and external systems. Implement API security controls including OAuth 2.0, JWT, PKI, client authentication, and role-based access control. Design scalable and highly available solutions that support load balancing, resiliency, and enterprise performance requirements. Collaborate with architects, engineers, business analysts, cybersecurity teams, and stakeholders throughout the software development lifecycle. Support CI/CD and DevSecOps practices using tools such as Jenkins, Git, GitLab, Maven, and ServiceNow. Participate in Agile ceremonies, technical reviews, sprint planning, and solution design discussions. Troubleshoot production issues, resolve defects, and support software releases and deployments. Mentor junior developers and provide technical leadership across development teams. Requirements US citizenship with the ability to obtain and maintain Secret Clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, Information Technology, or a related field. 10+ years of experience in software development, application programming, enterprise integration, or API development. Experience designing, developing, testing, and deploying enterprise software solutions. Experience developing APIs and integrations using MuleSoft or a comparable middleware platform. Experience integrating enterprise systems, databases, web services, and cloud-based applications. Experience working in Agile software development environments. Strong understanding of application architecture, software design principles, and system integration patterns. Demonstrated ability to lead technical efforts and mentor development teams. Relevant technical certification or equivalent professional experience. Required Technical Skills MuleSoft Anypoint Platform and Anypoint Studio RESTful and SOAP Web Services RAML, OpenAPI, JSON, XML, WSDL, and CSV DataWeave and API integration frameworks SQL and relational database technologies API-led connectivity and enterprise integration patterns Git-based source control CI/CD and DevSecOps practices Agile software development methodologies Technical documentation and system design Preferred Qualifications MuleSoft Certified Developer or MuleSoft Integration Architect certification Experience integrating SAP or other ERP platforms Experience modernizing legacy enterprise applications and interfaces Experience supporting federal government or highly regulated environments Experience with AWS GovCloud or secure cloud environments Experience with Jenkins, GitLab, ServiceNow, Postman, SoapUI, SonarQube, or MUnit Understanding of RMF, ATO, STIG, PKI, and cybersecurity compliance requirements Experience building high-availability and disaster recovery solutions Salary Range: $130,000-$150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources